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http://dx.doi.org/10.5302/J.ICROS.2002.8.2.120

Hopfield Network for Partitioning of Field of View  

Cha, Young-Youp (Dept.of Mechanical Engineering, Wonkwang University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.2, 2002 , pp. 120-125 More about this Journal
Abstract
An optimization approach is used to partition the field of view. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a field of view and one or multiple objects. Partition is achieved by initializing each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between a field of view and one or multiple objects to find a stable state.
Keywords
Hopfield network; neural network; partitioning of field of view;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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